2 citations · 4 across the 6 of their papers we have counts for
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stat.ME2024
Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
Muyang Shi, Likun Zhang, Mark D. Risser +1
Extreme events over large spatial domains may exhibit highly heterogeneous tail dependence characteristics, yet most existing spatial extremes models yield only one dependence clas…
stat.ME2023
A flexible class of priors for orthonormal matrices with basis function-specific structure
Joshua S. North, Mark D. Risser, F. Jay Breidt
Statistical modeling of high-dimensional matrix-valued data motivates the use of a low-rank representation that simultaneously summarizes key characteristics of the data and enable…
stat.ME2020★ 2 cited
Nonstationary Bayesian modeling for a large data set of derived surface temperature return values
Mark Risser
Heat waves resulting from prolonged extreme temperatures pose a significant risk to human health globally. Given the limitations of observations of extreme temperature, climate mod…